class_docstr: Generic PyTorch-Lightning class that must be initialized with a PyTorch module.
class_docstr_tok: ["Generic","PyTorch-Lightning","class","that","must","be","initialized","with","a","PyTorch","module","."]
code: def test_step(
      self, batch, batch_idx
  ):  # pylint: disable=unused-argument
      x, y = batch
      x.to(self.device)
      logits = x
      loss = (logits - y) ** 2
      print("test_loss: ", loss)
  
file_path: DeepKE/src/deepke/relation_extraction/few_shot/lit_models/base.py
imports: import torch
  from transformers.optimization import get_linear_schedule_with_warmup
  from torch import nn
label_desc: Use image node_id 7 for calling the BaseLitModel obj's underlying member method code with example usage: obj.test_step(batch, batch_idx) without return types